| 2025 | AISTATS | Approximate information maximization for bandit games. | Alex Barbier-Chebbah, Christian L. Vestergaard, Jean-Baptiste Masson, Etienne Boursier |
| 2025 | ICML | Simplicity Bias and Optimization Threshold in Two-Layer ReLU Networks. | Etienne Boursier, Nicolas Flammarion |
| 2025 | ICML | Prediction-Aware Learning in Multi-Agent Systems. | Aymeric Capitaine, Etienne Boursier, Eric Moulines, Michael I. Jordan, Alain Oliviero Durmus |
| 2024 | AISTATS | Constant or Logarithmic Regret in Asynchronous Multiplayer Bandits with Limited Communication. | Hugo Richard, Etienne Boursier, Vianney Perchet |
| 2024 | ICLR | First-order ANIL provably learns representations despite overparametrisation. | Oguz Kaan Yksel, Etienne Boursier, Nicolas Flammarion |
| 2024 | ICML | Incentivized Learning in Principal-Agent Bandit Games. | Antoine Scheid, Daniil Tiapkin, Etienne Boursier, Aymeric Capitaine, Eric Moulines, Michael I. Jordan, El-Mahdi El-Mhamdi, Alain Oliviero Durmus |
| 2022 | ALT | Social Learning in Non-Stationary Environments. | Etienne Boursier, Vianney Perchet, Marco Scarsini |
| 2022 | COLT | Trace norm regularization for multi-task learning with scarce data. | Etienne Boursier, Mikhail Konobeev, Nicolas Flammarion |
| 2020 | AISTATS | Utility/Privacy Trade-off through the lens of Optimal Transport. | Etienne Boursier, Vianney Perchet |
| 2020 | AISTATS | A Practical Algorithm for Multiplayer Bandits when Arm Means Vary Among Players. | Abbas Mehrabian, Etienne Boursier, Emilie Kaufmann, Vianney Perchet |
| 2020 | COLT | Selfish Robustness and Equilibria in Multi-Player Bandits. | Etienne Boursier, Vianney Perchet |